
doi: 10.1007/bf02574735
The paper presents a discrete time adaptive control algorithm for systems with saturated input. The process to be controlled is assumed to have a stable inverse. The main objective is the design of a stabilizing controller such that the closed loop system is bounded-input bounded- output stable under the non-ideal conditions: (1) There are unmodelled dynamics in the system. (2) The plant input is saturated with a known upper limit of the magnitude of the control signal. The algorithm is based on a model reference technique.
Discrete-time control/observation systems, Adaptive or robust stabilization, Adaptive control/observation systems, bounded-input bounded- output stable, saturated input, Sensitivity (robustness), discrete time, model reference, Input-output approaches in control theory, adaptive control
Discrete-time control/observation systems, Adaptive or robust stabilization, Adaptive control/observation systems, bounded-input bounded- output stable, saturated input, Sensitivity (robustness), discrete time, model reference, Input-output approaches in control theory, adaptive control
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
